Riboviz 2: a flexible and robust ribosome profiling data analysis and visualization workflow

Alexander L. Cope, Felicity Anderson, John Favate, Michael Jackson, Amanda Mok, Anna Kurowska, Junchen Liu, Emma Mackenzie, Vikram Shivakumar, Peter Tilton, Sophie M. Winterbourne, Siyin Xue, Kostas Kavoussanakis, Liana F. Lareau, Premal Shah, Edward W.J. Wallace

Research output: Contribution to journalArticlepeer-review


Motivation: Ribosome profiling, or Ribo-seq, is the state-of-the-art method for quantifying protein synthesis in living cells. Computational analysis of Ribo-seq data remains challenging due to the complexity of the procedure, as well as variations introduced for specific organisms or specialized analyses. Results: We present riboviz 2, an updated riboviz package, for the comprehensive transcript-centric analysis and visualization of Ribo-seq data. riboviz 2 includes an analysis workflow built on the Nextflow workflow management system for end-to-end processing of Ribo-seq data. riboviz 2 has been extensively tested on diverse species and library preparation strategies, including multiplexed samples. riboviz 2 is flexible and uses open, documented file formats, allowing users to integrate new analyses with the pipeline.

Original languageEnglish (US)
Pages (from-to)2358-2360
Number of pages3
Issue number8
StatePublished - Apr 15 2022

All Science Journal Classification (ASJC) codes

  • Statistics and Probability
  • Biochemistry
  • Molecular Biology
  • Computer Science Applications
  • Computational Theory and Mathematics
  • Computational Mathematics


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